Jeevan Kumar Polepalli
Business Analyst/Data Analyst ❖ BI Tools - ❖ Power BI ❖Tableau❖ Qlik Sense❖ QlikView❖ Python❖ SQL ❖ Data Modeling ❖ 6+ Years Experience
- Role
- Data Analyst at JBS USA
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Jeevan Kumar Polepalli
blending theoretical knowledge with practical skills to excel in the dynamic field of IT and Software Engineering. Leveraging a robust foundation in Business Intelligence tools, including Qlik Sense and QlikView, along with proficiency in Basic Python, AWS, and SQL, to drive data-driven decision-making and optimize organizational performance. With over 3 years of hands-on experience, I specialize in Project Management, ensuring timely delivery of projects while maintaining high-quality standards and exceeding client expectations. Adept at Data Modeling, I possess the ability to transform complex datasets into actionable insights, empowering stakeholders to make informed business decisions and gain a competitive edge in the market. Passionate about bridging the gap between IT and business objectives, I thrive in collaborative environments where I can contribute my expertise to drive innovation and streamline processes for enhanced efficiency and productivity. Committed to continuous learning and professional development, I actively seek opportunities to expand my skill set and stay updated with the latest trends and technologies shaping the industry. Actively seeking opportunities to leverage my expertise in MIS, Business Intelligence, Project Management, and Data Modeling to drive organizational success and innovation. Let\'s connect and explore how I can contribute to your team\'s growth and objectives! Reach out today to discuss potential collaborations or opportunities.
Experience
Data Analyst
Jul 2024 — Present · US
As a Data Analyst at JBS USA, I work closely with cross-functional teams across operations, supply chain, and finance to turn complex data into actionable insights. I design and manage interactive dashboards in Power BI and Tableau, helping stakeholders monitor real-time performance across production plants. I develop automated ETL workflows using Alteryx and SQL, and apply predictive analytics using Python and R to support demand forecasting, logistics optimization, and quality control. My work has led to measurable improvements in operational efficiency, cost reduction, and compliance with USDA standards. I also contribute to cloud-based data solutions using Azure Data Factory, Snowflake, and Synapse, while maintaining strong data governance through RBAC, Azure Key Vault, and automated reporting pipelines.
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